Triple

T20899559
Position Surface form Disambiguated ID Type / Status
Subject Flapper election E514632 entity
Predicate electorateGenderImpact P16232 FINISHED
Object made women a majority of the electorate LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: made women a majority of the electorate | Statement: [Flapper election, electorateGenderImpact, made women a majority of the electorate]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: electorateGenderImpact
Context triple: [Flapper election, electorateGenderImpact, made women a majority of the electorate]
  • A. electorateBehavior
    Indicates how members of an electorate collectively act or decide in political contexts, such as voting patterns, preferences, or participation.
  • B. electorateCharacteristics chosen
    Indicates the defining demographic, social, or political attributes that characterize a particular electorate.
  • C. electorateSizeRelative
    Indicates the comparative size of one electorate relative to another, typically expressing how large or small one voting population is in relation to a reference group.
  • D. electorateApprox
    Indicates an approximate or estimated size or value of an electorate associated with an entity.
  • E. electoralSignificance
    Indicates the importance or impact that something has on an election’s outcome, dynamics, or results.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b4f8a1108190bce3d31331290ced completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6e8f92bd88190b59b2131ad1d9aa1 completed April 21, 2026, 3:03 a.m.
PD Predicate disambiguation batch_69e5c9ac91108190a6700fcdf2f11890 completed April 20, 2026, 6:37 a.m.
Created at: April 16, 2026, 12:47 p.m.